4 citations · 6 across the 5 of their papers we have counts for
5 papers · 1 filter
Safe Pareto Improvements for Expected Utility Maximizers in Program Games
Anthony DiGiovanni, Jesse Clifton, Nicolas Macé
Agents in mixed-motive coordination problems such as Chicken may fail to coordinate on a Pareto-efficient outcome. Safe Pareto improvements (SPIs) were originally proposed to mitig…
Evolutionary Stability of Other-Regarding Preferences Under Complexity Costs
Anthony DiGiovanni, Nicolas Macé, Jesse Clifton
The evolution of preferences that account for other agents' fitness, or other-regarding preferences, has been modeled with the "indirect approach" to evolutionary game theory. Unde…
Commitment games with conditional information disclosure
Anthony DiGiovanni, Jesse Clifton
The conditional commitment abilities of mutually transparent computer agents have been studied in previous work on commitment games and program equilibrium. This literature has sho…
Balancing Adaptability and Non-exploitability in Repeated Games
Anthony DiGiovanni, Ambuj Tewari
We study the problem of guaranteeing low regret in repeated games against an opponent with unknown membership in one of several classes. We add the constraint that our algorithm is…
Survey of Self-Play in Reinforcement Learning
Anthony DiGiovanni, Ethan C. Zell
In reinforcement learning (RL), the term self-play describes a kind of multi-agent learning (MAL) that deploys an algorithm against copies of itself to test compatibility in variou…